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A New Method for the Analysis of Soft Tissues with Data Acquired under Field Conditions

机译:野外条件下获取数据分析软组织的新方法

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摘要

Analyzing soft-tissue structures is particularly challenging due to the lack of homologous landmarks that can be reliably identified across time and specimens. This is particularly true when data are to be collected under field conditions. Here, we present a method that combines photogrammetric techniques and geometric morphometrics methods (GMM) to quantify soft tissues for their subsequent volumetric analysis. We combine previously developed methods for landmark data acquisition and processing with a custom program for volumetric computations. Photogrammetric methods are a particularly powerful tool for field studies as they allow for image acquisition with minimal equipment requirements and for the acquisition of the spatial coordinates of points (anatomical landmarks or others) from these images. For our method, a limited number of homologous landmarks, i.e., points that can be found on any specimen independent of space and time, and further distinctive points, which may vary over time, space and subject, are identified on two-dimensional photographs and their three-dimensional coordinates estimated using photogrammetric methods. The three-dimensional configurations are oriented by the spatial principal components (PCs) of the homologous points. Crucially, this last step orients the configuration such that x and y-information (PC1 and PC2 coordinates) constitute an anatomically-defined plane with the z-values (PC3 coordinate) in the direction of interest for volume computation. The z-coordinates are then used to estimate the volume of the tissue. We validate our method using a physical, geometric model of known dimensions and physical (wax) models designed to approximate perineal swellings in female macaques. To demonstrate the usefulness and potential of our method, we use it to estimate the volumes of Barbary macaque sexual swellings recorded in the field with video images. By analyzing both the artificial data and real monkey swellings, we validate our method's accuracy and illustrate its potential for application in important areas of biological research.
机译:由于缺乏可以跨时间和标本可靠识别的同源地标,因此分析软组织结构尤其具有挑战性。当在野外条件下收集数据时尤其如此。在这里,我们提出了一种结合摄影测量技术和几何形态计量学方法(GMM)来量化软组织用于其后续体积分析的方法。我们将以前开发的用于地标数据获取和处理的方法与用于体积计算的自定义程序相结合。摄影测量方法是用于现场研究的特别强大的工具,因为它们允许以最少的设备要求来获取图像,并允许从这些图像中获取点(解剖学界标或其他)的空间坐标。对于我们的方法,在二维照片上可以识别出数量有限的同源地标,即可以在任何样本上找到的与空间和时间无关的点,以及随时间,空间和主题而变化的其他独特点,使用摄影测量方法估算的三维坐标。三维构型由同源点的空间主成分(PC)定向。至关重要的是,此最后一步将配置定向为,使x和y信息(PC1和PC2坐标)构成沿解剖方向定义的平面,z值(PC3坐标)沿感兴趣的方向进行体积计算。然后,z坐标用于估计组织的体积。我们使用已知尺寸的物理,几何模型和物理(蜡质)模型验证了我们的方法,该模型旨在近似雌性猕猴的会阴肿胀。为了证明我们方法的有用性和潜力,我们使用它来估计在野外用视频图像记录的巴巴里猕猴性肿胀的数量。通过分析人工数据和真实的猴子肿胀,我们验证了该方法的准确性,并说明了其在生物学研究的重要领域中的应用潜力。

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